Towards a Resource Grammar for Runyankore and Rukiga

David Bamutura, Peter Ljunglöf


Abstract
Currently, there is a lack of computational grammar resources for many under-resourced languages which limits the ability to develop Natural Language Processing (NLP) tools and applications such as Multilingual Document Authoring, Computer-Assisted Language Learning (CALL) and Low-Coverage Machine Translation (MT) for these languages. In this paper, we present our attempt to formalise the grammar of two such languages: Runyankore and Rukiga. For this formalisation we use the Grammatical Framework (GF) and its Resource Grammar Library (GF-RGL).
Anthology ID:
W19-3602
Volume:
Proceedings of the 2019 Workshop on Widening NLP
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Amittai Axelrod, Diyi Yang, Rossana Cunha, Samira Shaikh, Zeerak Waseem
Venue:
WiNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2–6
Language:
URL:
https://aclanthology.org/W19-3602
DOI:
Bibkey:
Cite (ACL):
David Bamutura and Peter Ljunglöf. 2019. Towards a Resource Grammar for Runyankore and Rukiga. In Proceedings of the 2019 Workshop on Widening NLP, pages 2–6, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Towards a Resource Grammar for Runyankore and Rukiga (Bamutura & Ljunglöf, WiNLP 2019)
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